# flake8: noqa

"""
@discribe: prompt for test_retrievalQA.py.
@author: wangwei1237@gmail.com
"""

from langchain.chains.prompt_selector import ConditionalPromptSelector, is_chat_model
from langchain.prompts import PromptTemplate
from langchain.prompts.chat import (
    ChatPromptTemplate,
    HumanMessagePromptTemplate,
    AIMessagePromptTemplate,
)

prompt_template = """Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer.

{context}

Question: {question}
Helpful Answer:"""
PROMPT = PromptTemplate(
    template=prompt_template, input_variables=["context", "question"]
)

system_template = """Use the following pieces of context to answer the users question. 
If you don't know the answer, just say that you don't know, don't try to make up an answer.
----------------
{context}"""
messages = [
    HumanMessagePromptTemplate.from_template(system_template),  # <1>
    AIMessagePromptTemplate.from_template("OK!"),  # <2>
    HumanMessagePromptTemplate.from_template("{question}"),
]
CHAT_PROMPT = ChatPromptTemplate.from_messages(messages)


PROMPT_SELECTOR = ConditionalPromptSelector(
    default_prompt=PROMPT, conditionals=[(is_chat_model, CHAT_PROMPT)]
)
